Machine Learning with Python
الذهاب إلى القناة على Telegram
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho
إظهار المزيد
📈 نظرة تحليلية على قناة تيليجرام Machine Learning with Python
تُعد قناة Machine Learning with Python (@codeprogrammer) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 68 482 مشتركاً، محتلاً المرتبة 2 406 في فئة التعليم والمرتبة 4 586 في منطقة الهند.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 68 482 مشتركاً.
بحسب آخر البيانات بتاريخ 04 نوفمبر, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار -75، وفي آخر 24 ساعة بمقدار 7، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 3.38%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 1.57% من ردود الفعل نسبةً إلى إجمالي المشتركين.
- وصول المنشورات: يحصل كل منشور على متوسط 2 314 مشاهدة. وخلال اليوم الأول يجمع عادةً 1 073 مشاهدة.
- التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 9.
- الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل insidead, learning, degree, evaluation, algorithm.
📝 الوصف وسياسة المحتوى
يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
“Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
Admin: @HusseinSheikho || @Hussein_Sheikho”
بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 05 نوفمبر, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التعليم.
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The Transformer Model
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How to Add an Editor to Your Django App (Ckeditor)
In this tutorial, we will be looking at how to add an editor to your Django app which will ease your content creation process.
https://bytexplain.com/how-to-add-an-editor-to-your-django-app-ckeditor/?fbclid=IwAR16NutW1rXO6tbtERpnOD4wsseDJlMAR0IZJAE8ivOoms8wMIiUHmexDZk
Public APIs
A collective list of free APIs
📃 Creator: public-apis
📃 Forked by: 27.8k
🌐 GitHub repo: https://github.com/public-apis/public-apis
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pandas for Data Science
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Skills: pandas, Data Science, Data Visualization
In this learning path, you’ll get started with pandas and get to know the ins and outs of how you can use it to analyze data with Python.
https://realpython.com/learning-paths/pandas-data-science/
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Automatically find issues in image datasets and practice data-centric computer vision.
CleanVision automatically detects potential issues in image datasets like images that are: blurry, under/over-exposed, (near) duplicates, etc. This data-centric AI package is a quick first step for any computer vision project to find problems in the dataset, which you want to address before applying machine learning. CleanVision is super simple -- run the same couple lines of Python code to audit any image dataset!
https://github.com/cleanlab/cleanvision
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Building Transformer Models with Attention Crash Course. Build a Neural Machine Translator in 12 Days
https://machinelearningmastery.com/building-transformer-models-with-attention-crash-course-build-a-neural-machine-translator-in-12-days/
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Best Data Science Channels and groups on Telegram:
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